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Brent Munsell
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Early brain development in infants at high risk for autism spectrum disorder
HC Hazlett, H Gu, BC Munsell, SH Kim, M Styner, JJ Wolff, JT Elison, ...
Nature 542 (7641), 348-351, 2017
11772017
Scalable high-performance image registration framework by unsupervised deep feature representations learning
G Wu, M Kim, Q Wang, BC Munsell, D Shen
IEEE transactions on biomedical engineering 63 (7), 1505-1516, 2015
3542015
Detecting anatomical landmarks for fast Alzheimer’s disease diagnosis
J Zhang, Y Gao, Y Gao, BC Munsell, D Shen
IEEE transactions on medical imaging 35 (12), 2524-2533, 2016
2122016
Domain transfer learning for MCI conversion prediction
B Cheng, M Liu, D Zhang, BC Munsell, D Shen
IEEE Transactions on Biomedical Engineering 62 (7), 1805-1817, 2015
2002015
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data
BC Munsell, CY Wee, SS Keller, B Weber, C Elger, LAT da Silva, ...
Neuroimage 118, 219-230, 2015
1792015
Deep learning applied to whole‐brain connectome to determine seizure control after epilepsy surgery
E Gleichgerrcht, B Munsell, S Bhatia, WA Vandergrift III, C Rorden, ...
Epilepsia 59 (9), 1643-1654, 2018
1222018
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition
G Wu, M Kim, G Sanroma, Q Wang, BC Munsell, D Shen, ...
NeuroImage 106, 34-46, 2015
1132015
Person identification using full-body motion and anthropometric biometrics from kinect videos
BC Munsell, A Temlyakov, C Qu, S Wang
Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012
1022012
Temporal lobe epilepsy surgical outcomes can be inferred based on structural connectome hubs: a machine learning study
E Gleichgerrcht, SS Keller, DL Drane, BC Munsell, KA Davis, E Kaestner, ...
Annals of neurology 88 (5), 970-983, 2020
972020
Clinical Sites. Data Coordinating Center. Image Processing Core. Statistical Analysis. Early brain development in infants at high risk for autism spectrum disorder
HC Hazlett, H Gu, BC Munsell, SH Kim, M Styner, JJ Wolff, JT Elison, ...
Nature 542 (7641), 348-351, 2017
872017
Two perceptually motivated strategies for shape classification
A Temlyakov, BC Munsell, JW Waggoner, S Wang
2010 IEEE computer society conference on computer vision and pattern …, 2010
802010
The ENIGMA‐Epilepsy working group: Mapping disease from large data sets
SM Sisodiya, CD Whelan, SN Hatton, K Huynh, A Altmann, M Ryten, ...
Human brain mapping 43 (1), 113-128, 2022
712022
Evaluating shape correspondence for statistical shape analysis: A benchmark study
BC Munsell, P Dalal, S Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (11), 2023 …, 2008
652008
Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning
Z Wang, X Zhu, E Adeli, Y Zhu, F Nie, B Munsell, G Wu
Medical image analysis 39, 218-230, 2017
622017
White matter connectomes at birth accurately predict cognitive abilities at age 2
JB Girault, BC Munsell, D Puechmaille, BD Goldman, JC Prieto, M Styner, ...
Neuroimage 192, 145-155, 2019
602019
A fast 3d correspondence method for statistical shape modeling
P Dalal, BC Munsell, S Wang, J Tang, K Oliver, H Ninomiya, X Zhou, ...
2007 IEEE Conference on computer vision and pattern recognition, 1-8, 2007
552007
Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study
E Gleichgerrcht, BC Munsell, S Alhusaini, MKM Alvim, N Bargalló, ...
NeuroImage: Clinical 31, 102765, 2021
542021
Identifying high order brain connectome biomarkers via learning on hypergraph
C Zu, Y Gao, B Munsell, M Kim, Z Peng, Y Zhu, W Gao, D Zhang, D Shen, ...
Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016 …, 2016
342016
Identifying disease-related subnetwork connectome biomarkers by sparse hypergraph learning
C Zu, Y Gao, B Munsell, M Kim, Z Peng, JR Cohen, D Zhang, G Wu
Brain imaging and behavior 13, 879-892, 2019
302019
Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning
BC Munsell, G Wu, J Fridriksson, K Thayer, N Mofrad, N Desisto, D Shen, ...
Brain and Language 193, 45-57, 2019
282019
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